Tire Particle Control with Comfort Bounds for Electric Vehicles

Advanced Driver Assistance Systems (ADAS) are already an important contributor to safety in conventional vehicles and thus in road traffic. This is obviously necessary, as in Austria in 2020, almost 99% of all accidents with personal injury were presumably caused by misconduct of involved persons or impairments [1]. Furthermore, country roads seem to be a safety-relevant environment, as they account for more than 50% of the fatalities in road traffic in Austria.Im nächsten Schritt wird der Einfluss der Identifikationsstrategie auf die Prädiktionsergebnisse betrachtet, wobei für die Identifikation ein Maß für die "Reichhaltigkeit" eines Trainingsdatensatzes eingeführt wird. Es zeigt sich, dass die "Reichhaltigkeit" als auch der Umfang des Identifikationsdatensatzes die Qualität der Prädiktionsmodelle beeinflusst.Schließlich wird ein ausgewähltes Bayes'sches Netzwerk in Simulation für einen Abstandsregeltempomat (ACC) verwendet, um das Verhalten des vorausfahrenden Fahrzeugs vorherzusagen. Der ACC wird als optimal-control Problem formuliert und im Rahmen eines MPC gelöst, während die Validierung auf einem Maß für den Kraftstoffverbrauch und Fahrkomfort basiert. Es zeigt sich bei der Prädiktion mit dem Bayes'schen Netz eine Verbesserung des Kraftstoffverbrauchs und Fahrkomforts im Vergleich zu anderen Prädiktionsmethoden, die keine topologischen Eigenschaften berücksichtigen.

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Electric Vehicle Adoption: A Comprehensive Systematic Review of Technological, Environmental, Organizational and Policy Impacts

Zaino,

Ahmed,

Alhammadi

et al. 2024

WEVJ

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This comprehensive systematic review explores the multifaceted impacts of electric vehicle (EV) adoption across technological, environmental, organizational, and policy dimensions. Drawing from 88 peer-reviewed articles, the study addresses a critical gap in the existing literature, which often isolates the impact of EV adoption without considering holistic effects. Technological advancements include innovations in the battery technology and energy storage systems, enhancing EV performance and mitigating range anxiety. The environmental analysis reveals substantial reductions in greenhouse gas emissions, with lifecycle assessments showing significant reductions for EVs compared to internal combustion engine vehicles, particularly when charged with renewable energy sources. Key comparisons include lifecycle emissions between mid-size battery electric vehicles (BEVs) and internal combustion engine vehicles (ICEVs), and global average lifecycle emissions by powertrain under various policy scenarios. The organizational implications are evident, as businesses adopt new models for fleet management and logistics, leveraging EVs for operational efficiency and sustainability. Policy analysis underscores the crucial role of government incentives, regulatory measures, and infrastructure investments in accelerating EV adoption. The review identifies future research areas such as efficient battery recycling methods, the potential impact of EVs on grid stability, and long-term economic implications. This study offers insights for stakeholders aiming to foster sustainable transportation and achieve global climate goals.

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Tire Particle Control with Comfort Bounds for Electric Vehicles

Cited by 3 publications

References 26 publications

Emission Analysis of Electric Motorcycles and Assessment of Emission Reduction With Fleet Electrification

Emission Analysis of Electric Motorcycles and Assessment of Emission Reduction With Fleet Electrification

Probabilistic Prediction of Driving Behavior on Country Roads

Electric Vehicle Adoption: A Comprehensive Systematic Review of Technological, Environmental, Organizational and Policy Impacts

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